2025_programme: A Frequency Scaling Transformation Method for Efficient Echo Simulation in High-Speed MIMO Synthetic Aperture Sonar

• Day: June 19, Thursday
    Location / Time: D. CHLOE at 12:00-12:20
• Last minutes changes: Cancelled
• Session: 11. New methods and theories in underwater acoustic imaging
  Organiser(s): Pengfei Zhang, Peng Wang
  Chairperson(s): Pengfei Zhang, Peng Wang
• Lecture: A Frequency Scaling Transformation Method for Efficient Echo Simulation in High-Speed MIMO Synthetic Aperture Sonar
  Paper ID: 2318
  Author(s): Yanbo Jiao, Sicheng Zhang, Pengfei Zhang, Peng Wang, Cheng Chi, Shiping Chen, Lulu Ren, Jie Tian
  Presenter: Yanbo Jiao
  Abstract: For Synthetic Aperture Sonar (SAS) imaging systems, echo simulators not only significantly reduce development costs but also enable performance analysis and optimization in controlled environments. Under high-speed conditions, the increased baseline platform velocity leads to non-ideal sampling effects, which significantly impact imaging quality. Multiple-Input Multiple-Output (MIMO) SAS mitigates this by transmitting orthogonal signals, enhancing spatial sampling rates. However, due to the cross-correlation of transmitted waveforms, MIMO imaging performance degrades in complex scenarios, and the high-speed-induced temporal Doppler effect may further worsen imaging quality. All algorithms designed to mitigate these detrimental effects require rigorous validation through echo simulators.\nTo address the challenge of acquiring coherent high-speed echo data, this paper proposes an efficient echo simulation method based on frequency scaling transformation of transmitted signals, aimed at simulating raw echo data for high-frequency MIMO SAS systems. The simulator has two main components: first, it constructs the transmitted signal in the frequency domain and applies complex multiplication with phase delays to calculate the echo spectra of each scattering point; second, it simulates the carrier frequency offset and chirp rate variation caused by the temporal Doppler effect through scaling transformation of the spectra. Finally, the spectra of all scattering points are combined in the frequency domain, and the raw echo data is reconstructed via inverse Fourier transform. Additionally, to accommodate the transmission signal diversity strategies of MIMO SAS systems, the simulator further processes the raw echo data by incorporating diversity techniques to simulate the transmission and reception processes under MIMO configurations. Simulation results demonstrate that this method ensures computational accuracy while significantly reducing simulation time for multi-receiver array configurations, providing reliable coherent data support for algorithm development and performance evaluation of high-speed MIMO SAS systems.\n
• Corresponding author: Mr Yanbo Jiao
  Affiliation: Institute of Acoustics, Chinese Academy of Sciences
  Country: China